Develop and deploy credit scoring, affordability, and behavioural models to support underwriting, pricing, and collections.
Design and run experiments to optimise approval rates, loss rates, and profitability.
Partner with product squads to embed decision logic into real-time systems.
Moniepoint Inc. is Africa's all-in-one financial platform, helping 20 million businesses and individuals access payments, banking, credit, and business management tools. As Nigeria's largest merchant acquirer, it processes over $250 billion in annual transaction value, with a culture that prioritizes people and values every voice.
Set technical strategy for the international credit ML team and drive underwriting projects.
Partner with product, design, analytics, and risk to manage technical sustainability and trade-offs.
Mentor engineers and contribute to a cohesive long-term ML strategy.
Affirm exists to give people a clear, predictable way to pay over time, with no hidden fees or surprises. It is a remote-first fintech company that cares about transparency and flexibility, offering comprehensive benefits and growth opportunities.
Build and operate production ML systems for recommendations, ranking, and personalized action selection across Stripe's Growth Platform.
Improve contextual bandit and policy-learning approaches, including exploration, reward design, and adaptive user feedback.
Develop reliable data and feature pipelines, reusable tooling, and online experiments to drive measurable business outcomes.
Stripe is a financial infrastructure platform for businesses of all sizes, enabling payments and revenue growth. With millions of companies as customers, Stripe fosters a culture of passion, grit, and integrity while working to increase the GDP of the internet.
Analyze large, diverse datasets on business cash flow, credit, and repayment to identify product opportunities.
Partner with product and engineering to develop and commercialize data products and predictive models.
Lead Ocrolus’ analytics and data science efforts as a subject matter expert on SMB credit and mentoring.
Ocrolus is an AI platform for lenders, automating workflows with over 99% accuracy on nearly one million monthly credit applications. Trusted by 400+ customers, it is a remote-first team of builders and problem solvers.
Build credit scoring models, improve fraud detection, and design A/B tests for promotions.
Partner with product and operations teams to generate insights and drive decisions.
Take ownership of analytics projects from scoping to communicating findings to stakeholders.
Wave is building financial services to make Africa the first cashless continent, offering mobile money that works anywhere. With millions of users across 9 countries and a rapidly growing team, we foster autonomy and are backed by world-class investors.
Manage and grow a team of ML engineers building credit lending models for markets across Europe and Australia.
Set technical strategy and advocate for scalable, business-impacting ML solutions in the underwriting system.
Partner with engineering, product, and risk leaders to align ML capabilities with company goals.
Affirm is a fintech company that provides clear, predictable pay-over-time solutions with no hidden fees or surprises. It is a remote-first company focused on transparency, flexibility, and employee well-being.
Lead, coach, and grow a team of Credit Risk Analysts, owning credit risk operations end-to-end.
Build AI-native credit risk frameworks and partner with Data Science and Risk Analytics on models.
Work cross-functionally to embed credit risk policies into fintech products and automate processes.
Jobber provides technology for small home service businesses to quote, schedule, invoice, and collect payments. With a culture of transparency and collaboration, the company has been recognized by Great Place to Work and Deloitte Canada.
Set technical vision and strategy for foundational model and user understanding roadmap.
Collaborate cross-functionally with vertical customer, horizontal signal, and infrastructure teams.
Lead and mentor a high-performing ML team, driving technical execution from ideation to deployment.
Reddit is a community of communities built on shared interests, passion, and trust, hosting open and authentic conversations. With 100,000+ active communities and approximately 130 million daily active unique visitors, it is one of the internet's largest sources of information.
Explore complex datasets to identify fraud patterns, attack methods, and behavioral signals.
Build machine learning models for fraud detection across account opening, account takeover, and identity risk.
Write clean, well-tested code and work with engineering to bring models and features into production.
Experian is a global data and technology company operating across financial services, healthcare, automotive, and more. They have a team of 25,200 people in 32 countries and a people-first, inclusive culture.
Design, build, and deploy LLM-powered agents that detect spam, harassment, and policy-violating content on Quora.
Develop agentic workflows to automate content moderation and user safety tasks at scale.
Evaluate model performance, investigate failures, and refine AI systems for accuracy and efficiency.
Quora is a global knowledge-sharing platform that connects people with expert answers. This role sits on a small, collaborative engineering team with a remote-first culture and a focus on AI safety and content quality.
Own and identify innovative strategies across the revenue waterfall to grow and recover revenue, backed by data insights from testing, simulations, and ML models.
Build talk tracks and narratives for client-facing teams to continuously optimize and grow existing partnerships.
Influence the product roadmap by testing optimization ideas and partnering with Product and Engineering to turn them into features.
Extend is revolutionizing the post-purchase experience for retailers by providing AI-driven solutions for customer service, returns, fulfillment, and fraud detection. The company works with over 1,000 merchant partners and is backed by prominent tech investors, with a collaborative and supportive remote-first culture.
Build LLM-powered agents and production ML systems to automate security analysis.
Collaborate with threat-research and data engineering to turn risk identification into scalable solutions.
Own deployment, monitoring, and quality of solutions in CI/CD frameworks.
Zscaler accelerates digital transformation with its Zero Trust Exchange platform, protecting customers from cyberattacks and data loss. The company is the world's largest in-line cloud security platform, distributed across 160+ exchanges, with an AI-native culture focused on ownership, collaboration, and trust.
Design, develop, and scale machine learning models and advanced analytics solutions to improve healthcare provider data quality and generate network insights.
Apply statistical modeling, predictive analytics, NLP, and anomaly detection to solve complex, open-ended business problems.
Partner with Engineering to productionize models, use LLM tools, and translate findings into clear business value for stakeholders.
Quest Analytics provides healthcare provider network management tools, with models and insights that improve the accuracy, adequacy, and accessibility of healthcare provider networks. For more than 20 years, 90% of America's health plans have used their solutions, and they foster an entrepreneurial culture with workplace flexibility.
Own analytics and AI workstreams for next-best-action and field education capabilities, translating integrated data into actionable recommendations.
Develop interpretable machine learning, statistical, and generative AI solutions using structured and unstructured clinical, laboratory, commercial, and enterprise data.
Collaborate with data and application engineers on pipelines, version control, testing, and deployment, while documenting data lineage and limitations.
CareDx is a leading precision medicine diagnostics company advancing care in transplant, specialty oncology, and cell therapy. Every employee contributes to innovations that transform patient care, supported by a culture of curiosity, accountability, and transparency.
Conduct research to develop new functionalities and improve existing technologies across fraud, voice/speech, video, authentication, and deepfake detection.
Design, implement, and evaluate deep learning algorithms and ML models tailored to complex datasets.
Partner with research and engineering teams to transition prototypes into production-ready systems and publish findings in top conferences.
Pindrop is a cybersecurity company delivering continuous identity verification across voice, video, and digital interactions. Backed by leading investors and protecting billions of interactions annually, we maintain a remote-first culture and focus on innovative security research.
Lead end-to-end design, testing, and optimization of credit strategies across the customer lifecycle.
Apply advanced data science, machine learning, and AI to automate and scale credit policies.
Partner with Risk, Fraud, and Finance teams to drive portfolio growth and manage risk.
A fintech company focused on credit policies and data science, building automated and scalable decision strategies. It offers a collaborative, informal, and inclusive remote-first culture with flexible work arrangements.
Lead hands-on data science to turn revenue opportunities into production ML systems.
Apply causal inference, experimentation, and advanced analytics to guide product decisions.
Mentor data scientists and set technical best practices in a collaborative, remote-first environment.
This company builds consumer technology products serving over 100 million monthly active users, focusing on revenue growth through personalization, experimentation, and subscriptions. It operates with a remote-first, AI-native culture that values direct communication, integrity, and high-impact execution.
Lead exploration and application of Large Language Models and Generative AI into core product lines.
Translate the latest research into high-performing systems that enhance customer experiences.
Collaborate with cross-functional teams to set strategy and deploy ML solutions with real business impact.
Replicant is the industry leader in voice AI for customer service, providing automated phone bots for enterprises like AAA and Fanatics. Founded in 2017, the company is backed by top-tier Silicon Valley investors, has offices in the SF Bay Area, Toronto, and New York, and maintains a distributed team across the US and Canada.
Leverage advanced data analytics to independently derive insights and optimize risk, growth, and business strategies across products and geographies.
Monitor portfolio performance and macroeconomic trends, proactively adjusting strategies to balance growth and risk mitigation.
Partner with Engineering and Machine Learning teams to build and interpret metrics for scalable risk, fraud, or growth models.
Affirm is a financial technology company offering clear, predictable pay-over-time solutions with no hidden fees. It is a remote-first public company that values transparency, flexibility, and a culture of learning and documentation.